Engineering harmony under multi-constraint objectives: the perspective of meta-analysis

    Qiankun Wang Affiliation
    ; Weiwei Zuo Affiliation
    ; Qianyao Li Affiliation


Harmony is the process of coordinated development between the elements, subsystems and the environment in each Engineering stage of the engineering implementation. Quality, duration, cost and risk are the key factors to achieve engineering harmony. Clarifying the influencing factors of engineering harmony and its mechanism can improve the possibility of success. The meta-analysis method is used to carry out a restudy of existing researches of engineering harmony. First, quality, duration, cost and risk are selected as the variables of achieving engineering harmony. Second, the paper collects 29 existing researches including many countries and regions around the world on the relationship between the variables and engineering harmony. Third, each value is calculated and corrected according to literature coding. Forth, publication deviation and total effect test are checked. Finally, the research conclusions and engineering management implications are given based on the results of meta-analysis. The results show that quality objective, duration objective, cost objective and risk management objective all have positive impact on achieving engineering harmony. The engineering type has no regulatory effect on positive impact of the duration objective and cost objective, but has regulatory effect on positive impact of the quality objective and risk management objective on the engineering harmony.

First published online 23 January 2020

Keyword : engineering harmony, scheduling, quality, lifestyle costing, risk management, meta-analysis

How to Cite
Wang, Q., Zuo, W., & Li, Q. (2020). Engineering harmony under multi-constraint objectives: the perspective of meta-analysis. Journal of Civil Engineering and Management, 26(2), 131-146.
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Feb 7, 2020
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Abdal Noor, B. (2018). Review of BIM literature in construction industry and transportation: meta-analysis. Construction Innovation, 18(4), 433-452.

Al-Bahar, J. F., & Crandall, K. C. (1990). Systematic risk management approach for construction projects. Journal of Construction Engineering and Management, 116(3), 533-546.

Alger, P. L. (2013). Engineering and quality control. Electrical Engineering, 66(1), 16-19.

Aliverdi, R., Naeni, L. M., & Salehipour, A. (2013). Monitoring project duration and cost in a construction project by applying statistical quality control charts. International Journal of Project Management, 31(3), 411-423.

Ameh, O. J., Soyingbe, A. A., & Odusami, K. T. (2010). Significant factors causing cost overruns in telecommunication projects in Nigeria. Journal of Construction in Developing Countries, 15(2), 49-67.

Amusan, L. M., Afolabi, A., Ojelabi, R., Omuh, I., & Okagbue, H. I. (2018). Data exploration on factors that influences construction cost and time performance on construction project sites. Data in Brief, 17, 1320-1325.

Arashpour, M., Abbasi, B., Arashpour, M., Hosseini, M. R., & Yang, R. (2017). Integrated management of on-site, coordination and off-site uncertainty: Theorizing risk analysis within a hybrid project setting. International Journal of Project Management, 35(4), 647-655.

Assaf, S. A., & Al-Hejji, S. (2006). Causes of delay in large construction projects. International Journal of Project Management, 24(4), 349-357.

Atinc, G., Darrat, M., Fuller, B., & Parker, B. W. (2010). Perceptions of organizational politics: A meta-analysis of theoretical antecedents. Journal of Managerial Issues, 22(4), 494-513.

Azaron, A., Katagiri, H., & Sakawa, M. (2007). Time-cost tradeoff via optimal control theory in Markov PERT networks. Annals of Operations Research, 150(1), 47-64.

Badewi, A. (2016). The impact of project management (PM) and benefits management (BM) practices on project success: Towards developing a project benefits governance framework. International Journal of Project Management, 34(4), 761-778.

Bowen, F. E., Rostami, M., & Steel, P. (2010). Timing is everything: A meta-analysis of the relationships between organizational performance and innovation. Journal of Business Research, 63(11), 1179-1185.

Büschgens, T., Bausch, A., & Balkin, D. B. (2013). Organizational culture and innovation: A meta-analytic review. Journal of Product Innovation Management, 30(4), 763-781.

Card, N. A. (2012). Applied meta-analysis for social science research. New York, NY, US: Guilford Press.

Chandra, H. P. (2015). Structural equation model for investigating risk factors affecting project success in Surabaya. Procedia Engineering, 125, 53-59.

Chandra, H. P., Indarto, Wiguna, P. A. I., & Kaming, P. F. (2012). Model of stakeholder influence on project success, an important finding from construction project in East Java. International Journal of Academic Research, 4(2), 41-45.

Chen, Q., Jin, Z., Xia, B., Wu, P., & Skitmore, M. (2016). Time and cost performance of design–build projects. Journal of Construction Engineering and Management, 142(2), 414-415.

Chou, J. S. (2011). Cost simulation in an item-based project involving construction engineering and management. International Journal of Project Management, 29(6), 706-717.

Crook, T. R., Ketchen, D. J., Combs, J. G., & Todd, S. Y. (2008). Strategic resources and performance: A meta-analysis. Strategic Management Journal, 29(11), 1141-1154.

Daihu, C. (2015). Research on impact of risk management ability of project on contextual performance (Master’s thesis). Dalian University of Technology.

Dalton, D. R., Daily, C. M., Certo, S. T., & Roengpitya, R. (2003). Meta-analyses of financial performance and equity: Fusion or confusion? Academy of Management Journal, 46(1), 13-26.

Davis, J., Mengersen, K., Bennett, S., & Mazerolle, L. (2014). Viewing systematic reviews and meta-analysis in social research through different lenses. Springerplus, 3, 511.

Deshpande, A. M., Siddhalingeshwar, I. G., & Ekabote, N. (2016). Implementation of advanced product quality planning in engineering project. Journal of Biotechnology, 185, S7.

Doloi, H., Iyer, K. C., & Sawhney, A. (2011). Structural equation model for assessing impacts of contractor’s performance on project success. International Journal of Project Management, 29(6), 687-695.

Domingues, M. S. Q., Baptista, A. L. F., & Tato, D. M. (2017). Engineering complex systems applied to risk management in the mining industry. International Journal of Mining Science and Technology, 27(4), 611-616.

Feng, H., Wei, J., & Zhang, G. (2015). Earned value method in the application of the project schedule and cost management of highway construction. International Journal of Science, 2(7), 21-24.

Fernandez-Viagas, V., & Framinan, J. M. (2014). Integrated project scheduling and staff assignment with controllable processing times. The Scientific World Journal, 924120.

Fernandez-Viagas, V., & Framinan, J. M. (2015). Controllable processing times in project and production management: Analysing the trade-off between processing times and the amount of resources. Mathematical Problems in Engineering, 826318.

Foy, T. D. (2013). Quality control as a management tool: Organization of quality control as a management tool. Electrical Engineering, 66(5), 483-486.

Frank, M., Sadeh, A., & Ashkenasi, S. (2011). The relationship among systems engineers’ capacity for engineering systems thinking, project types, and project success. Project Management Journal, 42(5), 31-41.

Fu, F., & Zhang, T. (2016). A new model for solving time-costquality trade-off problems in construction. Plos One, 11(12), e0167142.

Galvin, J. (2017). Critical role of risk management in ground engineering and opportunities for improvement. Journal of China University of Mining & Technology, 27(5), 725-731.

García, H., Valles, A., Sánchez, J., Noriega, S., & Dominguez, G. (2017). Statistical equation modeling analysis for industrial projects, designing for critical factors and latent variables: quality, cost, time, and success. The International Journal of Advanced Manufacturing Technology, 88(1), 767-779.

Garwood, D. A., & Poole, A. H. (2018). Project management as information management in interdisciplinary research: “Lots of different pieces working together”. International Journal of Information Management, 41(4), 14-22.

Gioacchino, L. (2005). Meta-analysis in medical research: The handbook for the understanding and practice of meta-analysis. Oxford: Blackwell Publishing.

Glass, G. V., McGaw, B., & Smith, M. L. (1981). Meta-analysis in social research. Beverly Hills, CA: Sage.

Golchin Rad, K., & Kim, S.-Y. (2018). Factors affecting construction labor productivity: Iran case study. Iranian Journal of Science and Technology, Transactions of Civil Engineering, 42(2), 165-180.

Grennberg, T. (1993). Project types in building and construction. International Journal of Project Management, 11(2), 68-71.

Haq, S. U., Liang, C., Gu, D., & Ma, Y. (2016). Understanding the determinantsof project performance: Empirical evidencesfrom software houses of Pakistan. In WHICEB 2016, Wuhan, China.

Hasan, M. S. M. S. (2017). Examining the effects of challenges faced in green construction on project outcomes: A Chinese perspective. International Journal of Engineering and Technology, 6(4), 315-321.

Hedges, L. V., & Olkin, I. (1985). Statistical methods for metaanalysis. New York: Academic Press, Inc.

Horman, M. J., & Kenley, R. (2005). Quantifying levels of wasted time in construction with meta-analysis. Journal of Construction Engineering and Management, 131(1), 52-61.

Hu, K., & Zhang, R. (2016). Empirical research on influencing factors of highway project performance based on SEM. Engineering Economy, 26(3), 15-19.

Hunter, J. E., & Schmidt, F. L. (2004). Methods of meta-analysis: Correcting error and bias in research findings. Thousand Oaks, CA, US: Sage Publications, Inc.

Hwang, B. G., & Ng, H. B. (2016). Project network management: risks and contributors from the viewpoint of contractors and sub-contractors. Technological and Economic Development of Economy, 22(4), 631-648.

Idiake, J. E., Oke, A. A., & Shittu, A. A. (2015). Analysis of cost and quality relationship of private building projects in Abuja, Nigeria. International Journal of Construction Engineering and Management, 4(2), 35-43.

Ikediashi, D. I., & Ogwueleka, A. C. (2016). Assessing the use of ICT systems and their impact on construction project performance in the Nigerian construction industry. Journal of Engineering, Design and Technology, 14(2), 252-276.

Iqbal, S., Choudhry, R. M., Holschemacher, K., Ali, A., & Tamošaitienė, J. (2015). Risk management in construction projects. Technological and Economic Development of Economy, 21(1), 65-78.

Isaac, S., & Edrei, T. (2016). A statistical model for dynamic safety risk control on construction sites. Automation in Construction, 63(18), 66-78.

Jaśkowski, P. (2015). Methodology for enhancing reliability of predictive project schedules in construction. Eksploatacja i Niezawodnosc [Maintenance and Reliability], 17(3), 470-479.

Jaśkowski, P., & Biruk, S. (2011). The method for improving stability of construction project schedules through buffer allocation. Technological and Economic Development of Economy, 17(3), 429-444.

Jiang, W. (2012). Review and implementation process of metaanalysis in management research. Journal of Zhejiang University (Humanities and Social Sciences), 42(5), 144-156.

Jin, Y. C. (2015). Minimizing total weighted completion time under makespan constraint for two-agent scheduling with jobdependent aging effects. Computers & Industrial Engineering, 83(C), 237-243.

Jin, H., Shen, L., & Wang, Z. (2018). Mapping the influence of project management on project cost. KSCE Journal of Civil Engineering, 22(9), 3183-3195.

Khamooshi, H., & Cioffi, D. F. (2013). Uncertainty in task duration and cost estimates: Fusion of probabilistic forecasts and deterministic scheduling. Journal of Construction Engineering and Management, 139(5), 488-497.

Kiew, P. N., Ismail, S., & Yusof, A. M. (2016). Integration of quality management system in the Malaysian construction industry. The Journal of Organizational Management Studies, 117211.

Kim, D. Y., Kim, H., Han, S. H., & Park, H. (2009). Structuring the prediction model of project performance for international construction projects: A comparative analysis. Expert Systems with Applications, 36(2), 1961-1971.

King, D. R., Dalton, D. R., Daily, C. M., & Covin, J. G. (2004). Meta-analyses of post-acquisition performance: Indications of unidentified moderators. Strategic Management Journal, 25(2), 187-200.

Li, M., Yu, H., Jin, H., & Liu, P. (2018). Methodologies of safety risk control for China’s metro construction based on BIM. Safety Science, 110, 418-426.

Liberatore, M. J., & Pollack-Johnson, B. (2013). Improving project management Decision making by modeling quality, time, and cost continuously. IEEE Transactions on Engineering Management, 60(3), 518-528.

Lim, C. S., & Mohamed, M. Z. (1999). Criteria of project success: an exploratory re-examination. International Journal of Project Management, 17(4), 243-248.

Lin, C. W. R., & Hsiau, H. J. (2010). A genetic algorithm approach for optimizing chemical towers construction project scheduling with dynamic resources constraints. International Journal of Industrial Engineering Theory Applications & Practice, 17(2), 128-141.

Lines, B. C., Sullivan, K. T., Smithwick, J. B., & Mischung, J. (2015). Overcoming resistance to change in engineering and construction: Change management factors for owner organizations. International Journal of Project Management, 33(5), 1170-1179.

Lipsey, M. W., & Wilson, D. B. (2001). The way in which intervention studies have “personality” and why it is important to meta-analysis. Evaluation & The Health Professions, 24(3), 236-254.

Littau, P., Jyothi Jujagiri, N., & Adlbrecht, G. (2010). 25 years of stakeholder theory in project management literature (1984– 2009). Project Management Journal, 41(4), 17-29.

Liu, S. (2016). How the user liaison’s understanding of development processes moderates the effects of user-related and project management risks on IT project performance. Information & Management, 53(1), 122-134.

Liu, J., Xie, Q., Xia, B., & Bridge, A. J. (2017). Impact of design risk on the performance of design-build projects. Journal of Construction Engineering and Management, 143(6), 04017010.

Liu, L., Borman, M., & Gao, J. (2014). Delivering complex engineering projects: Reexamining organizational control theory. International Journal of Project Management, 32(5), 791-802.

Cooper, H., Hedges, L. V., & Valentine, J. C. (2009). The hndbook of research synthesis and meta-analysis (2nd ed.). New York: Russell Sage Foundation.

Mann, C. C. (1994). Can meta-analysis make policy? Science, 266, 960-962.

Mao, Y., & Xu, T. (2011). Research of 4M1E’s effect on engineering quality based on structural equation model. Systems Engineering Procedia, 1, 213-220.

Marzouk, M. M., & El-Rasas, T. I. (2014). Analyzing delay causes in Egyptian construction projects. Journal of Advanced Research, 5(1), 49-55.

Mclean, T., Mcgovern, T., & Davie, S. (2015). Management accounting, engineering and the management of company growth: Clarke Chapman, 1864–1914. British Accounting Review, 47(2), 177-190.

Mohammed, K. A., & Isah, A. D. (2012). Causes of delay in Nigeria construction industry. Interdisciplinary Journal of Contemporary Research in Business, 4(2), 758-794.

Mok, K. Y., Shen, G. Q., & Yang, J. (2015). Stakeholder management studies in mega construction projects: A review and future directions. International Journal of Project Management, 33(2), 446-457.

Molenaar, K. R., & Dai, Q. T. (2014). Exploring critical delivery selection risk factors for transportation design and construction projects. Engineering Construction & Architectural Management, 21(6), 631-647.

Monghasemi, S., Nikoo, M. R., Fasaee, M. A. K., & Adamowski, J. (2015). A novel multi criteria decision making model for optimizing time–cost–quality trade-off problems in construction projects. Expert Systems with Applications, 42(6), 3089-3104.

Mota, J., & de Castro, L. M. (2017). Embedding of a new business as a cumulative process of combining different but complementary types of projects: The case of a project-based firm. Industrial Marketing Management, 16(9), 124-138.

Müller, R., & Turner, J. R. (2007). Matching the project manager’s leadership style to project type. International Journal of Project Management, 25(1), 21-32.

Musa, M. M., Amirudin, R. B., Sofield, T., & Musa, M. A. (2015). Influence of external environmental factors on the success of public housing projects in developing countries. Construction Economics and Building, 15(4), 30-34.

Nam, T. D., Duc, D. N., & Duy, N. V. (2016). Factors affecting ODA project performance: The case of urban railway projects in Vietnam. International Journal of Economics and Finance, 8(11), 167-174.

Nguyen, H. T., & Hadikusumo, B. (2017). Impacts of human resource development on engineering, procurement, and construction project success. Built Environment Project and Asset Management, 7(1), 73-85.

Nitithamyong, P., Skibniewski, M. J., & Clark, A. J. (2007). Key success/failure factors and their impacts on system performance of Web-based project management systems in construction. Electronic Journal of Information Technology in Construction, 12, 39-59.

Olechowski, A., Oehmen, J., Seering, W., & Ben-Daya, M. (2016). The professionalization of risk management: What role can the ISO 31000 risk management principles play? International Journal of Project Management, 34(8), 1568-1578.

Petty, M. M., McGee, G. W., & Cavender, J. W. (1984). A metaanalysis of the relationships between individual job satisfaction and individual performance. Academy of Management Review, 9(4), 712-721.

Pimchangthong, D., & Boonjing, V. (2017). Effects of risk management practice on the success of IT project. Procedia Engineering, 182, 579-586.

Pinto, J. K., & Slevin, D. P. (2013). Critical factors in successful project implementation. IEEE Transactions on Engineering Management, EM-34(1), 22-27.

Preethi S, & Monisha, M. (2017). Project management and its effects of quality control in construction sector. International Journal of Engineering and Management Research, 7(2), 92-96.

Qureshi, S., Qureshi, S. M., Ullah, M., Memon, M. S., & Siddiqui, M. A. (2017). Assessment of the extent of implementation of quality management system (QMS) and cost of quality (COQ) concepts – A case from a developing country. Journal of Engineering Research, 14(2), 145-155.

Rao, P. S., Viswanadhan, K. G., & Raghunandana, K. (2015). Best practices for quality improvement – Lessons from top ranked engineering institutions. International Education Studies, 8(11), 169-183.

Razo, L., Ramos, F., & Occello, M. (2010, 28 September - 1 October 2010). METAOSE: Meta-analysis for agent oriented software engineering. In 2010 IEEE Electronics, Robotics and Automotive Mechanics Conference. Morelos, Mexico.

Reeves-Latour, M., & Morselli, C. (2016). Bid-rigging networks and state-corporate crime in the construction industry. Social Networks, 51, 158-170.

Russell, M. M., Liu, M., Howell, G., & Hsiang, S. M. (2015). Case studies of the allocation and reduction of time buffer through use of the last planner system. Journal of Construction Engineering and Management, 141(2), 04014068.

Safapour, E., Kermanshachi, S., Habibi, M., & Shane, J. (2018, April). Resource-based exploratory analysis of project complexity impact on phase-based cost performance behavior. In Construction Research Congress 2018. New Orleans, Louisiana, USA.

Sambasivan, M., & Soon, Y. W. (2007). Causes and effects of delays in Malaysian construction industry. International Journal of Project Management, 25(5), 517-526.

Sambasivan, M., Deepak, T. J., Salim, A. N., & Ponniah, V. (2017). Analysis of delays in Tanzanian construction industry. Engineering, Construction and Architectural Management, 24(2), 308-325.

Sanchez, O. P., & Terlizzi, M. A. (2017). Cost and time project management success factors for information systems development projects. International Journal of Project Management, 35(8), 1608-1626.

Sarigiannidis, L., & Chatzoglou, P. D. (2014). Quality vs risk: An investigation of their relationship in software development projects. International Journal of Project Management, 32(6), 1073-1082.

Schuh, G., Prote, J. P., Luckert, M., Basse, F., Thomson, V., & Mazurek, W. (2018). Adaptive design of engineering change management in highly iterative product development. Procedia CIRP, 70, 72-77.

Semab, S., Khan, A., & Shah, F. A. (2017). Study on delaying factors affecting the success of construction projects in Pakistan; Role of project intervention as moderator. Journal of Administrative and Business Sciences, 2(2).

Smith, P. (2016). Global professional standards for project cost management. Procedia - Social and Behavioral Sciences, 226, 124-131.

Springer, L., Stanne, M. E., & Donovan, S. S. (1999). Effects of small-group learning on undergraduates in science, mathematics, engineering, and technology: A meta-analysis. Review of Educational Research, 69(1), 21-51.

Stajkovic, A. D., & Luthans, F. (2003). Behavioral management and task performance in organizations: Conceptual background, meta-analysis, and test of alternative models. Personnel Psychology, 56(1), 155-194.

Sullivan, K. T. (2011). Quality management programs in the construction industry: Best value compared with other methodologies. Journal of Management in Engineering, 27(4), 210219.

Sun, H., Shen, K.-k., & Fan, Z.-q. (2012). Analysis of factors influencing PPP project performance based on SEM. Journal of Tianjin University (Social Sciences), 14(6), 513-519.

Suprapto, M., Bakker, H. L. M., Mooi, H. G., & Hertogh, M. J. C. M. (2016). How do contract types and incentives matter to project performance? International Journal of Project Management, 34(6), 1071-1087.

Teller, J., & Kock, A. (2013). An empirical investigation on how portfolio risk management influences project portfolio success. International Journal of Project Management, 31(6), 817-829.

Thoedtida, T. (2014). Fuzzy critical chain risk management for quantifying impact of variation in non-critical activity duration on project duration. International Journal of Project Organisation and Management, 6(1/2), 48-66.

Toor, S. U. R., & Ogunlana, S. O. (2009). Construction professionals’ perception of critical success factors for large – scale construction projects. Construction Innovation, 9(2), 149-167.

Toutounchian, S., Abbaspour, M., Dana, T., & Abedi, Z. (2018). Design of a safety cost estimation parametric model in oil and gas engineering, procurement and construction contracts. Safety Science, 106, 35-46.

Wang, Y. R., Yu, C. Y., & Chan, H. H. (2012). Predicting construction cost and schedule success using artificial neural networks ensemble and support vector machines classification models. International Journal of Project Management, 30(4), 470-478.

Wang, X., Xia, N., Zhang, Z., Wu, C., & Liu, B. (2017). Human safety risks and their interactions in China’s subways: Stakeholder perspectives. Journal of Management in Engineering, 33(5), 05017004.

Weiss, M., Hoegl, M., & Gibbert, M. (2017). How does material resource adequacy affect innovation project performance? A meta-analysis. Journal of Product Innovation Management, 34(6), 842-863.

Wilson, R. (2015). Mastering project time management, cost control, and quality management: Proven methods for controlling the three elements that define project deliverables. London: Pearson FT Press.

Wu, G., Duan, K., Zuo, J., Yang, J., & Wen, S. (2016). System dynamics model and simulation of employee work-family conflict in the construction industry. International Journal of Environmental Research & Public Health, 13(11), 1059.

Xia, N., Zou, P. X. W., Griffin, M. A., Wang, X., & Zhong, R. (2018). Towards integrating construction risk management and stakeholder management: A systematic literature review and future research agendas. International Journal of Project Management, 36(5), 701-715.

Xie, X., & Guo, D. (2017). Human factors risk assessment and management: process safety in engineering. Process Safety & Environmental Protection, 113, 467-482.

Yang, L.-R., Chen, J.-H., & Huang, C.-F. (2013). A comprehensive framework for evaluating key project requirements. Journal of Civil Engineering and Management, 19(Sup. 1), S91-S105.

Zhang, Y., Liu, S., Tan, J., Jiang, G., & Zhu, Q. (2018). Effects of risks on the performance of business process outsourcing projects: The moderating roles of knowledge management capabilities. International Journal of Project Management, 36(4), 627-639.

Zhao, X. (2017). A scientometric review of global BIM research: Analysis and visualization. Automation in Construction, 80, 37-47.